نتایج جستجو برای: drowsy driver detection and warning system
تعداد نتایج: 17228430 فیلتر نتایج به سال:
This paper describes method for detecting the early signs of fatigue in train drivers. As soon as the train driver is falling in symptoms of fatigue immediate message will be transfer to the control room indicating the status of the drivers. In addition of the advance technology of heart rate sensors is also added in the system for correct detection of status of driver if in either case driver ...
In this paper, we propose a framework to develop an M2M-based (machine-to-machine) proactive driver assistance system. Unlike traditional approaches, we take the benefits of M2M in intelligent transportation system (ITS): 1) expansion of sensor coverage, 2) increase of time allowed to react, and 3) mediation of bidding for right of way, to help driver avoiding potential traffic accidents. To de...
A lane departure warning system (LDWS) should give as much warning time as possible, while triggering few, if any, false alarms. In this paper, a virtual lane boundary based LDWS (VLWM) is proposed to approach this goal. VLWM allows the driver to drift beyond the physical lane boundary by adding a virtual lane boundary. Accounting for the driving habit of the driver, lane geometry, and the loca...
The Study on the Influence of Audio Warning Systems on Driving Performance Using a Driving Simulator
The traffic accident has been one of the first ten death factors in Taiwan for past years. The published statistical data showed that the number of casualties has gradually increased, and indicated that the main cause of traffic accident was the negligence by drivers, nearly twenty percent of the total amount of accidents every year in Taiwan. Many published researches about driving safety poin...
OBJECTIVE Crash avoidance technologies can potentially prevent or mitigate many crashes, but their success depends in part on driver acceptance. Owners of 2010-2012 model Volvo vehicles with several technologies were interviewed about their experiences. METHODS Interviews were conducted in summer 2012 with 155 owners of vehicles with City Safety as a standard feature; 145 owners with an optio...
Many accidents were happened because of fast driving, habitual working overtime or tired spirit. This paper presents a solution of remote warning for vehicles collision avoidance using vehicular communication. The development system integrates dedicated short range communication (DSRC) and global position system (GPS) with embedded system into a powerful remote warning system. To transmit the v...
Many new in-vehicle systems focus on accident prevention by facilitating the driving task. One such driving aid is an in-vehicle collision avoidance warning system (IVCAWS), used to alert the driver to an impending collision. Our study evaluated the effects of an imperfect IVCAWS both on driver headway maintenance and on driver behavior in response to warning system errors. Our results showed t...
Collision warning systems offer a promising approach to mitigate rear-end collisions, but substantial uncertainty exists regarding the joint performance of the driver and the collision warning algorithms. A simple deterministic model of driver performance was used to examine kinematics-based and perceptual-based rear-end collision avoidance algorithms over a range of collision situations, algor...
Driver inattention and poor judgment are the major causes of motor vehicle accidents (MVA). Extensive research has shown that intelligent driver assistance systems can significantly reduce the number and severity of these accidents. The driver’s visual perception abilities are a key factor in the design of the driving environment. This makes image processing a natural candidate in any effort to...
INTRODUCTION Intelligent vehicles become to gather more and more interest and are drastically progressing (Bishop, 2005). Until recent days, respective system functions have been developed such as LDW(Lane Departure Warning), ACC(Adaptive Cruise Control), CW/CA(Collision Warning/Collision Avoidance), IPAS(Intelligent Parking Assist) and BSD(Blind Spot Detection). Each system employed their own ...
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